In SAS, “ranuni” function can be used to generate random numbers between 0 and 1 inclusive. Hence, if there is a request to generate random numbers from 1 to 5 inclusive, it is possible to multiply by 5 and add 1 to the result which is then rounded to the integer portion of the decimal point.

**Example in SAS**

*data random_number;*

*do i=1 to 5;*

* rand_num = int(ranuni(0) * 5 + 1);*

* output;*

*end;*

In R on the other hand, we can just use a “sample” function to derive random numbers from 1 to 5. Colon (:) specifies the range directly, which in my opinion, makes the code very convenient to read and maintain.

**Example in R**

*> x3 <- sample(1:5, 5)*

*> print( x3 )*

*[1] 2 5 3 1 4*

Notice that there were no repetitions in R in the example above. Having a third parameter in the example below allows repetitions.

*> x3 <- sample(1:5, 5, replace=T)*

*> print ( x3 )*

*[1] 3 1 3 1 3*

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